Package: SynDI 0.1.0

Michael Kleinsasser

SynDI: Synthetic Data Integration

Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arxiv:2106.06835>.

Authors:Tian Gu [aut], Jeremy M.G. Taylor [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]

SynDI_0.1.0.tar.gz
SynDI_0.1.0.zip(r-4.7)SynDI_0.1.0.zip(r-4.6)SynDI_0.1.0.zip(r-4.5)
SynDI_0.1.0.tgz(r-4.6-any)SynDI_0.1.0.tgz(r-4.5-any)
SynDI_0.1.0.tar.gz(r-4.7-any)SynDI_0.1.0.tar.gz(r-4.6-any)
SynDI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SynDI/json (API)

# Install 'SynDI' in R:
install.packages('SynDI', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-biostatistics/syndi/issues

Datasets:

On CRAN:

Conda:

4.30 score 2 stars 9 scripts 195 downloads 6 exports 75 dependencies

Last updated from:3a08bf51ea. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE135
source / vignettesOK273
linux-release-x86_64NOTE133
macos-release-arm64NOTE93
macos-oldrel-arm64NOTE95
windows-develNOTE91
windows-releaseNOTE79
windows-oldrelNOTE88
wasm-releaseOK121

Exports:%>%Create.SyntheticexpitInitial.estimatesResample.gamma.binaryYResample.gamma.continuousY

Dependencies:abindarmbackportsbitbit64bootbroomclicliprcodacodetoolscpp11crayondplyrevaluateforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmvtnormnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6randomForestrbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartsandwichshapeStackImputestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrxfunyamlzoo

SynDI Example 1: Binary Response
Example 1: Binary Y, simulation II in the manuscript | Install/load SynDI | Settings | Create external models | Create internal data set | Step 1: convert the external model information into the synthetic data | Step 2: Multiple imputation | Step 3: Stack M imputed datasets | Step 4: Calculate population-specific weights | Step 5: Estimation
Rendered fromSynDI-example-binary.Rmdusingknitr::knitr

Last update: 2021-07-20
Started: 2021-07-14

SynDI Example 2: Continuous Response
Example 2: Continuous Y, additional simulation 1 in the Supporting Material | Install/load SynDI | Settings | Create external models | Create internal data set | Step 1: convert the external model information into the synthetic data | Step 2: Multiple imputation | Step 3: Stack M imputed datasets | Step 4: Calculate population-specific weights | Step 5: Estimation
Rendered fromSynDI-example-continuous.Rmdusingknitr::knitr

Last update: 2021-07-20
Started: 2021-07-15